Background: Acute lymphoblastic leukemia (ALL), the most common paediatric malignancy, is a heterogeneous hematologic disease. ALL patients may present with isolated and persistent osteo-articular complaints, lower in...Background: Acute lymphoblastic leukemia (ALL), the most common paediatric malignancy, is a heterogeneous hematologic disease. ALL patients may present with isolated and persistent osteo-articular complaints, lower incidence of hepatomegaly, splenomegaly or lymphadenopathy without clear laboratory features, and misdiagnosed as systemic juvenile idiopathic arthritis (sJIA). Methods: This was a single center cross sectional study over a period of 4 years. Clinic laboratory profiles of 39 ALL children were compared with 39 age and sex-matched sJIA cases. Result: Among 39 ALL patients 89.7% were initially misdiagnosed as sJIA upon clinical presentation. Majority (66.7%) of ALL patients had oligo-articular joint involvement. In sJIA, small joints of the hands were most commonly involved. The total WBC count was significantly higher in ALL patients (p-value 0.0065). CRP and LDH values between the two groups showed significant differences (p-value 0.00006 and 0.00001 respectively). Conclusion: The presentation of leukemia with arthralgia or arthritis makes the diagnosis difficult for the physicians. The diagnosis of sJIA must be made with caution keeping the possibility of haematological malignancy in mind.展开更多
Option pricing has become one of the quite important parts of the financial market. As the market is always dynamic, it is really difficult to predict the option price accurately. For this reason, various machine lear...Option pricing has become one of the quite important parts of the financial market. As the market is always dynamic, it is really difficult to predict the option price accurately. For this reason, various machine learning techniques have been designed and developed to deal with the problem of predicting the future trend of option price. In this paper, we compare the effectiveness of Support Vector Machine (SVM) and Artificial Neural Network (ANN) models for the prediction of option price. Both models are tested with a benchmark publicly available dataset namely SPY option price-2015 in both testing and training phases. The converted data through Principal Component Analysis (PCA) is used in both models to achieve better prediction accuracy. On the other hand, the entire dataset is partitioned into two groups of training (70%) and test sets (30%) to avoid overfitting problem. The outcomes of the SVM model are compared with those of the ANN model based on the root mean square errors (RMSE). It is demonstrated by the experimental results that the ANN model performs better than the SVM model, and the predicted option prices are in good agreement with the corresponding actual option prices.展开更多
Spices are generally consumed because of their medicinal properties, taste, and add flavor to food. Objectives: To determine the nutrient contents and heavy metals of five commonly consumed spices, namely turmeric (Cu...Spices are generally consumed because of their medicinal properties, taste, and add flavor to food. Objectives: To determine the nutrient contents and heavy metals of five commonly consumed spices, namely turmeric (Curcuma longa), bay leaf (Laurus nobilis), red chili (Capsicum annuum), coriander (Coriander sativum), and black cumin (Nigella sativa) were collected from the local market of Northern zone, Bangladesh and were analyzed. Methods: Nutrient composition was assessed by proximate analysis, trace and heavy metals by atomic absorption spectrophotometry while the indophenol method was used to determine vitamin C. Result: The results revealed that spices are good sources of carbohydrate, fiber, and fat. The highest levels of carbohydrates, dietary fiber, protein, and fat were observed in turmeric (71.1%), black cumin (40.0%), red chili (16.77%), and coriander (17.8%) respectively. Vitamin C was present in trace amounts ranging from 0.04 to 0.1 mg/100g, except black cumin (35.0 mg/100g). Essential trace minerals like sodium, potassium, calcium, magnesium, and iron were significantly present in black cumin and bay leaf. Most of the heavy metal levels in the spices were appreciable amounts i.e. much lesser than the statutory safe limit approved by WHO and FAO for some of the samples. Conclusion: The current study concluded that the investigated spices are nutritionally rich, and heavy metal levels in the examined samples are safe for human consumption.展开更多
文摘Background: Acute lymphoblastic leukemia (ALL), the most common paediatric malignancy, is a heterogeneous hematologic disease. ALL patients may present with isolated and persistent osteo-articular complaints, lower incidence of hepatomegaly, splenomegaly or lymphadenopathy without clear laboratory features, and misdiagnosed as systemic juvenile idiopathic arthritis (sJIA). Methods: This was a single center cross sectional study over a period of 4 years. Clinic laboratory profiles of 39 ALL children were compared with 39 age and sex-matched sJIA cases. Result: Among 39 ALL patients 89.7% were initially misdiagnosed as sJIA upon clinical presentation. Majority (66.7%) of ALL patients had oligo-articular joint involvement. In sJIA, small joints of the hands were most commonly involved. The total WBC count was significantly higher in ALL patients (p-value 0.0065). CRP and LDH values between the two groups showed significant differences (p-value 0.00006 and 0.00001 respectively). Conclusion: The presentation of leukemia with arthralgia or arthritis makes the diagnosis difficult for the physicians. The diagnosis of sJIA must be made with caution keeping the possibility of haematological malignancy in mind.
文摘Option pricing has become one of the quite important parts of the financial market. As the market is always dynamic, it is really difficult to predict the option price accurately. For this reason, various machine learning techniques have been designed and developed to deal with the problem of predicting the future trend of option price. In this paper, we compare the effectiveness of Support Vector Machine (SVM) and Artificial Neural Network (ANN) models for the prediction of option price. Both models are tested with a benchmark publicly available dataset namely SPY option price-2015 in both testing and training phases. The converted data through Principal Component Analysis (PCA) is used in both models to achieve better prediction accuracy. On the other hand, the entire dataset is partitioned into two groups of training (70%) and test sets (30%) to avoid overfitting problem. The outcomes of the SVM model are compared with those of the ANN model based on the root mean square errors (RMSE). It is demonstrated by the experimental results that the ANN model performs better than the SVM model, and the predicted option prices are in good agreement with the corresponding actual option prices.
文摘Spices are generally consumed because of their medicinal properties, taste, and add flavor to food. Objectives: To determine the nutrient contents and heavy metals of five commonly consumed spices, namely turmeric (Curcuma longa), bay leaf (Laurus nobilis), red chili (Capsicum annuum), coriander (Coriander sativum), and black cumin (Nigella sativa) were collected from the local market of Northern zone, Bangladesh and were analyzed. Methods: Nutrient composition was assessed by proximate analysis, trace and heavy metals by atomic absorption spectrophotometry while the indophenol method was used to determine vitamin C. Result: The results revealed that spices are good sources of carbohydrate, fiber, and fat. The highest levels of carbohydrates, dietary fiber, protein, and fat were observed in turmeric (71.1%), black cumin (40.0%), red chili (16.77%), and coriander (17.8%) respectively. Vitamin C was present in trace amounts ranging from 0.04 to 0.1 mg/100g, except black cumin (35.0 mg/100g). Essential trace minerals like sodium, potassium, calcium, magnesium, and iron were significantly present in black cumin and bay leaf. Most of the heavy metal levels in the spices were appreciable amounts i.e. much lesser than the statutory safe limit approved by WHO and FAO for some of the samples. Conclusion: The current study concluded that the investigated spices are nutritionally rich, and heavy metal levels in the examined samples are safe for human consumption.
